Dr. Lee is a member of the:
- National Association of Industrial Technology (NAIT)
- Society of Manufacturing Engineers (SME)
- Epsilon Pi Tau
Honors and Awards
- Pro/Engineer Design Competition, Iowa State University; La Mécanique, Université de Technologie de Compiègne, Compiègne, France, 2000
- Silvius/Wolansky Fellowship, Iowa State University, 2003
Education
- Ph.D., Iowa State University, 2006
- M.S., Iowa State University, 1999
- B.S., Inha University, South Korea, 1996
Professional Training
- Mitutoyo CMM Training, Mitutoyo America Corporation, 2001
- Autodesk Inventor Training, 2000
- MasterCAM Training, 1999
Professional Interests
- Tool Condition Monitoring System in CNC Machines
- Artificial Intelligence Decision Making Systems
- Sensor Technology for Online Machining
- Signal Processing for Smart Machines
Teaching Areas
- Computer-Aided Design in Machine & Tool Design
- Computer-Aided Engineering in Machine Design
- Finite Element Analysis in Machine Design
- Computer Numerical Control Machining and Programming
- Geometrical Dimensioning and Tolerancing
- Digital Product Definition Data Practice – 3D Annotation
Publications
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Lee, S. and Chen, J. (In-progress), “Wavelet Transformation Based In-Process Tool Condition Monitoring System Using Artificial Neural Networks Systems”
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Lee, S. and Chen, J. (In-progress), “Statistical Tool Monitoring System Using a Noble Signal Processing Method in CNC Turning Operation”
- Smith, G.C., and
Lee, S.S. “A Method for Detecting Tool Wear on a CNC Lathe,”International Journal of Advanced Manufacturing Technology. 25 (3-4), 270-280, 2005
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Lee, S., and Chen, J. “An In-Process Surface Roughness Recognition System Using an Accelerometer Sensor in Turning Operations,”
Journal of Engineering Technology, 20 (2), 12-18, 2003
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Lee, S. and Chen, J. “On-Line Surface Roughness Recognition System Using Artificial Neural Networks System in Turning Operations,”
International Journal of Advanced Manufacturing Technology, 22 (7-8), 498-509, 2003
Presentations
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Lee, S., and Chen, J. “In-Process Tool Condition Monitoring System Development Using Intelligent Signal Processing,”
40th Annual Convention of the National Association of Industrial Technology, Panama City Beach, Florida. October, 2007, Submitted
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Lee, S. “Development of Intelligent Tool Condition Monitoring Systems in CNC,” 2007
Faculty Excellence Exhibition, Central Michigan University, Mt. Pleasant, Michigan. March, 2007
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Lee, S. “On-Line Surface Roughness Recognition System Development,”
33rd Annual Convention of the National Association of Industrial Technology, Pittsburg, Pennsylvania. November, 2000